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Machine Learning is a science that enables machines (especially computers) to learn from environments and make own decisions.
Research Activities
- The Machine Learning Laboratory (MLL) carries out research and develops different theoretical foundations for machine learning such as:
- Reinforcement Learning, Deep Learning, Statistical Learning Theory, Multi-agent Systems, Game Theory and Mechanism Design, Blockchains, Explainable and Fair AI
- How machines and multi-agent systems should help in planning activities by learning from environments
- How learning gets affected if different machine learning and multi-agent systems algorithms are trying compete instead of cooperating
- How machines should learn in the presence of noisy environment or partial supervision
- Role of deep learning in planning, reinforcement learning, AI in game theory, blockchains and its applications
- For more details: Research Projects
Recent News
Our Paper ‘Human-Machine Collaboration for Face Recognition’ got best paper runner up award at CoDS-COMAD 2020
Our paper got accepted in INFOCOM 2020
Three of our papers got accepted in AAAI 2020
Three of our papers got accepted in AAMAS 2020, NZ